Triple

T9544321
Position Surface form Disambiguated ID Type / Status
Subject A470 E230242 entity
Predicate connects P390 FINISHED
Object Dolgellau E48935 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Dolgellau | Statement: [A470, connects, Dolgellau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dolgellau
Context triple: [A470, connects, Dolgellau]
  • A. Dolgellau chosen
    Dolgellau is a historic market town in Gwynedd, Wales, known for its stone buildings, former woollen industry, and scenic location near the southern edge of Snowdonia National Park.
  • B. Tywyn
    Tywyn is a coastal town in Gwynedd, Wales, known for its sandy beaches on Cardigan Bay and proximity to the scenic Talyllyn Railway.
  • C. Bodelwyddan
    Bodelwyddan is a village in Denbighshire, North Wales, known for its strategic location near the A55 and landmarks such as Bodelwyddan Castle.
  • D. Penclawdd
    Penclawdd is a coastal village on the Gower Peninsula in South Wales, historically known for its cockle industry and views over the Loughor Estuary.
  • E. Barmouth
    Barmouth is a seaside town and popular holiday resort on the west coast of Wales, known for its sandy beach and scenic location at the mouth of the Mawddach Estuary.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca847c70b8819088a0a0bad64a50d6 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98ebd4148190b71b134d7545fe35 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f60aa508190b3966f4b917c41b5 completed April 4, 2026, 11:31 p.m.
Created at: March 30, 2026, 8:01 p.m.